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samabos/deberta-v3-small-hscode-model

sourceHugging Facemitupdated 2y agoView on Hugging Face
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deberta-v3-small-hscode-model

This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0000
  • —Accuracy: 1.0
  • —F1: 1.0
  • —Precision: 1.0
  • —Recall: 1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • —learning_rate: 2e-05
  • —trainbatchsize: 3
  • —evalbatchsize: 3
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracyF1PrecisionRecall
0.01.030690.00001.01.01.01.0
0.02.061380.00001.01.01.01.0

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.0.0
  • —Tokenizers 0.19.1